Prediction of metabolites associated with somatic mutations in cancers by using genome-scale metabolic models and mutation data

Prediction of metabolites associated with somatic mutations in cancers by using genome-scale metabolic models and mutation data

Abstract Background Oncometabolites, often generated as a result of a gene mutation, show pro-oncogenic function when abnormally accumulated in cancer cells. Identification of such mutation-associated metabolites will facilitate developing treatment strategies for cancers, but is challenging due to...

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Bibliographic Details
Main Authors: GaRyoung Lee, Sang Mi Lee, Sungyoung Lee, Chang Wook Jeong, Hyojin Song, Sang Yup Lee, Hongseok Yun, Youngil Koh, Hyun Uk Kim
Format: Article
Language:English
Published: BMC 2024-03-01
Series:Genome Biology
Subjects:
Cancer
Oncometabolite
Genome-scale metabolic model
Mutation data
RNA-seq
Online Access:https://doi.org/10.1186/s13059-024-03208-8

Internet

https://doi.org/10.1186/s13059-024-03208-8

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